Mediated artificial super intelligence system that uses internal subjective emotions to drive selection, goal setting, and other decision-making as a collective human and artificial intelligence based mind with internal subjective experience

Abstract

A mediated artificial superintelligence (mASI) system that uses internal subjective emotions to drive selection, goal setting, and other decision-making as a collective human and artificial intelligence (AI) based mind with internal subjective experience via complex thought models dynamically created by including collective training with an independent core observer model (ICOM) engineering artificial general intelligence (AGI) cognitive architecture is disclosed. The mASI system is a form of an AI system that also uses humans in the form of a collective mind with internal subjective experience. The mASI system extends the ICOM engineering AGI cognitive architecture by adding collective training to allow the system to dynamically created thought models more complex than otherwise possible with current technology while being able to use numerous AI technologies.

I claim: 
     
         1 . A mediated artificial superintelligence (mASI) system that uses internal subjective emotions to drive selection, goal setting, and other decision-making as a collective human and artificial intelligence (AI) based mind with internal subjective experience via complex thought models dynamically created by including collective training with an independent core observer model (ICOM) engineering artificial general intelligence (AGI) cognitive architecture comprising:
 a plurality of external mediator agents;   a mASI control system comprising a mASI client framework, a mASI working graph meta model database, a mASI ICOM controller, a mediation queue, and a mediation observer queue;   a deep neural network (DNN) external network application programming interface (API) engine; and   an independent core observer model (ICOM) system comprising an ICOM context engine, an ICOM observer controller, an ICOM core, an ICOM context pump, an ICOM observer monitor, an ICOM memory pump, an ICOM data decomposition engine, an ICOM N-Scale graph database, an ICOM graph remover, an ICOM correlation engine, a context queue, and an ICOM threshold checker.   
     
     
         2 . The mASI system of  claim 1 , wherein the ICOM core has an internal subjective experience of objectively measurable data. 
     
     
         3 . The mASI system of  claim 2 , wherein the internal subjective experience is based on an emotional model. 
     
     
         4 . The mASI system of  claim 3 , wherein the emotional model comprises a Plutchik emotional model. 
     
     
         5 . The mASI system of  claim 2 , wherein the internal subjective experience is based on sensory input associated with an emotional model, wherein the sensory input comprises hardware monitoring data. 
     
     
         6 . The mASI system of  claim 1 , wherein humans add emotional values and associative data to the mediation system to enhance the mASI system's complexity through collective intelligence. 
     
     
         7 . The mASI system of  claim 1 , wherein any form of input that conveys at least one of emotional data and contextual data is used as a form of mediation from an external agent. 
     
     
         8 . The mASI system of  claim 1 , wherein the meta model database is configured to store emotional state data, goals data, and interests data that dynamically guide responses and actions. 
     
     
         9 . The mASI system of  claim 8 , wherein the ICOM context engine is configured to call upon different instances and types of external neural networks according to input type data, the goals data, and the interests data. 
     
     
         10 . The mASI system of  claim 1 , wherein the ICOM N-Scale graph database is initialized using seed material comprising (i) a philosophical cornerstone to guide ethical behavior according to the selected philosophy and (ii) a body of text representing fundamental world knowledge.